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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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nm) and over long timescales (10-100ps). To meet these objectives this project aims to further develop our recently introduced non-adiabatic molecular dynamics simulation method, termed excitonic state
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identify additional factors which can modulate RFC1 expression and ameliorate the molecular phenotype. The results will hopefully lead to a better understanding of disease-causing mechanisms and identify
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